8ffb8373
 dmayerich
Improved material...
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#include <iostream>
using namespace std;
__device__ double g(double v0, double v1)
{
return (v0 + v1)*log(abs(v0+v1)) + (v0-v1)*log(abs(v0-v1));
}
__device__ double hfin(double v0, double v1, double dv)
{
double e = 0.001;
double t0 = g(v0+e, v1-dv)/dv;
double t1 = 2*g(v0+e, v1)/dv;
double t2 = g(v0+e, v1+dv)/dv;
return -1.0/PI * (t0 - t1 + t2);
}
__global__ void devKramersKronig(double* gpuN, double* gpuK, int numVals, double nuStart, double nuEnd, double nOffset)
{
int i = blockIdx.x * blockDim.x + threadIdx.x;
if(i >= numVals) return;
double nuDelta = (nuEnd - nuStart)/(numVals - 1);
double nu = nuStart + i*nuDelta;
double n = 0.0;
double jNu;
double jK;
for(int j=1; j<numVals-1; j++)
{
jNu = nuStart + j*nuDelta;
jK = gpuK[j];
n += hfin(nu, jNu, nuDelta) * jK;
}
gpuN[i] = n + nOffset;
}
void cudaKramersKronig(double* cpuN, double* cpuK, int nVals, double nuStart, double nuEnd, double nOffset)
{
cout<<"Computing Kramers Kronig."<<endl;
//This function computes n given k
double* gpuK;
HANDLE_ERROR(cudaMalloc(&gpuK, sizeof(double)*nVals));
HANDLE_ERROR(cudaMemcpy(gpuK, cpuK, sizeof(double)*nVals, cudaMemcpyHostToDevice));
double* gpuN;
HANDLE_ERROR(cudaMalloc(&gpuN, sizeof(double)*nVals));
dim3 block(BLOCK_SIZE*BLOCK_SIZE);
dim3 grid(nVals/block.x + 1);
devKramersKronig<<<grid, block>>>(gpuN, gpuK, nVals, nuStart, nuEnd, nOffset);
HANDLE_ERROR(cudaMemcpy(cpuN, gpuN, sizeof(double)*nVals, cudaMemcpyDeviceToHost));
//free resources
HANDLE_ERROR(cudaFree(gpuK));
HANDLE_ERROR(cudaFree(gpuN));
}
__global__ void devComputeSpectrum(double* I, double2* B, double* alpha, int Nl,
int nSamples, int nLambda, double oThetaI, double oThetaO, double cThetaI, double cThetaO)
{
int i = blockIdx.x * blockDim.x + threadIdx.x;
if(i >= nLambda)
return;
//compute the delta-theta value
double dTheta = (oThetaO - oThetaI)/nSamples;
//allocate space for the Legendre polynomials
double Ptheta[2];
double cosTheta, theta;
cuDoubleComplex Us;
cuDoubleComplex UsSample;
cuDoubleComplex U;
//cuComplex Ui;
//Ui.x = 2*PI;
//Ui.y = 0.0;
cuDoubleComplex numer;
numer.x = 0.0;
cuDoubleComplex exp_numer;
cuDoubleComplex iL;
cuDoubleComplex imag;
imag.x = 0.0;
imag.y = 1.0;
double realFac;
cuDoubleComplex complexFac;
double PlTheta;
double Isum = 0.0;
//float maxVal = 0;
//float val;
for(int iTheta = 0; iTheta < nSamples; iTheta++)
{
//calculate theta
theta = iTheta * dTheta + oThetaI;
cosTheta = cos(theta);
//initialize the theta Legendre polynomial
Ptheta[0] = 1.0;
Ptheta[1] = cosTheta;
//initialize the scattered field
Us.x = Us.y = 0.0;
iL.x = 1.0;
iL.y = 0.0;
for(int l = 0; l<Nl; l++)
{
//compute the theta legendre polynomial
if(l == 0)
PlTheta = Ptheta[0];
else if(l == 1)
PlTheta = Ptheta[1];
else
{
PlTheta = ((2*l - 1)*cosTheta*Ptheta[1] - (l - 1)*Ptheta[0])/l;
Ptheta[0] = Ptheta[1];
Ptheta[1] = PlTheta;
}
//compute the real components of the scattered field
realFac = alpha[l] * PlTheta;
//compute the complex components of the scattered field
numer.x = 0.0;
numer.y = -(l*PI)/2.0;
exp_numer = cExp(numer);
complexFac = cMult(B[Nl * i + l], exp_numer);
complexFac = cMult(complexFac, iL);
//combine the real and complex components
UsSample = cMult(complexFac, realFac);
Us = cAdd(Us, UsSample);
//increment the imaginary exponent i^l
iL = cMult(iL, imag);
}
//sum the scattered and incident fields
if(theta >= cThetaI && theta <= cThetaO)
U = cAdd(Us, 2*PI);
else
U = Us;
Isum += (U.x*U.x + U.y*U.y) * sin(theta) * 2 * PI * dTheta;
}
I[i] = Isum;
}
void cudaComputeSpectrum(double* cpuI, double* cpuB, double* cpuAlpha,
int Nl, int nLambda, double oThetaI, double oThetaO, double cThetaI, double cThetaO, int nSamples)
{
//copy everything to the GPU
double2* gpuB;
HANDLE_ERROR(cudaMalloc(&gpuB, sizeof(double2) * nLambda * Nl));
HANDLE_ERROR(cudaMemcpy(gpuB, cpuB, sizeof(double2) * nLambda * Nl, cudaMemcpyHostToDevice));
double* gpuAlpha;
HANDLE_ERROR(cudaMalloc(&gpuAlpha, sizeof(double) * Nl));
HANDLE_ERROR(cudaMemcpy(gpuAlpha, cpuAlpha, sizeof(double) * Nl, cudaMemcpyHostToDevice));
double* gpuI;
HANDLE_ERROR(cudaMalloc(&gpuI, sizeof(double) * nLambda));
HANDLE_ERROR(cudaMemset(gpuI, 0, sizeof(double) * nLambda));
//call the kernel to compute the spectrum
dim3 block(BLOCK_SIZE*BLOCK_SIZE);
dim3 grid(nLambda/block.x + 1);
//devComputeSpectrum
devComputeSpectrum<<<grid, block>>>(gpuI, (double2*)gpuB, gpuAlpha, Nl,
nSamples, nLambda, oThetaI, oThetaO, cThetaI, cThetaO);
HANDLE_ERROR(cudaMemcpy(cpuI, gpuI, sizeof(double) * nLambda, cudaMemcpyDeviceToHost));
//printf("Final array value: %f\n", cpuI[nLambda-1]);
HANDLE_ERROR(cudaFree(gpuB));
HANDLE_ERROR(cudaFree(gpuAlpha));
HANDLE_ERROR(cudaFree(gpuI));
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